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Glossary

Intent Data

Intent data is behavioral signal that suggests an account is actively researching a problem or category, used to prioritize outreach toward buyers who are in-market now.

Intent data is behavioral signal that an account may be actively researching a problem, category, or competitor. It comes in two broad forms. First-party intent is activity on your own properties: pages viewed, content downloaded, demos requested. Third-party intent is sourced from networks that observe research activity across the web and report when a company spikes interest in topics relevant to you. Either way, the goal is the same: a hint about who is in-market right now.

Why it matters for outbound

Timing is half of outbound. The same message that gets ignored in a quiet quarter lands when a buyer is already looking for a solution. Intent data lets you bias effort toward the accounts most likely to engage this week, which lifts reply rate and meeting rate without changing anything else. In an ABM motion, it helps you decide which target accounts to push now and which to keep warm, turning a static list into a live priority queue.

How it works

Intent is most useful when it is layered onto fit, not used alone.

  • Start from the ICP: a strong intent signal from a poor-fit account is noise.
  • Combine intent with trigger events such as a funding round or a new executive hire.
  • Use the blend to sequence outreach so the hottest accounts get touched first.

We fold intent and triggers into the targeting so outreach reaches buyers when they are receptive. It is part of our ICP definition and targeting service.

From definitions to pipeline

Outword turns outbound theory into a running motion. Book a call to see what that looks like for your team.